RecruitingNCT06884397

Use of Artificial Intelligence to Predict Complications Following Abdominal Aortic Surgery

Implantation of an Endovascular Prosthesis for the Treatment of Abdominal Aortic Aneurysms: Use of a Machine Learning Model From CT Images to Predict Complications


Sponsor

Groupe Hospitalier de la Rochelle Ré Aunis

Enrollment

300 participants

Start Date

Apr 14, 2025

Study Type

OBSERVATIONAL

Conditions

Summary

Abdominal aortic aneurysm, a condition characterised by an increase in the diameter of the aorta, can be treated either surgically or endovascularly. In the latter, an endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta. This new method appears to be less invasive than surgery, but its long-term results are not yet fully understood. As a result, patients who have undergone this treatment are monitored by their surgeon to ensure that there is no endoleak. Several research teams have proposed analysing medical images to predict this risk of endoleak. Doctors are now trying to use artificial intelligence to automate the analysis of these images.


Eligibility

Min Age: 18 Years

Inclusion Criteria1

  • Treated for an abdominal aortic aneurysm through endovascular prosthesis implantation

Exclusion Criteria2

  • Underwent intraoperative embolization of the inferior mesenteric artery or aneurysmal sac
  • Refuse the use of their data

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Interventions

PROCEDUREAbdominal aortic endoprosthesis

An endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta.


Locations(1)

Groupe Hospitalier de la Rochelle Ré Aunis

La Rochelle, France

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NCT06884397


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